Papers
4,025 papers found
Learning Natural Programs from a Few Examples in Real-Time
Nagarajan Natarajan, Danny Simmons, Naren Datha et al.
Learning One-hidden-layer Neural Networks under General Input Distributions
Weihao Gao, Ashok V. Makkuva, Sewoong Oh et al.
Learning One-hidden-layer ReLU Networks via Gradient Descent
Xiao Zhang, Yaodong Yu, Lingxiao Wang et al.
Learning Rules-First Classifiers
Deborah Cohen, Amit Daniely, Amir Globerson et al.
Learning the Structure of a Nonstationary Vector Autoregression
Daniel Malinsky, Peter Spirtes
Learning to Optimize under Non-Stationarity
Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu
Learning Tree Structures from Noisy Data
Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Anand D. Sarwate
Least Squares Estimation of Weakly Convex Functions
Sun Sun, Yaoliang Yu
LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models
Yuan Zhou, Bradley J. Gram-Hansen, Tobias Kohn et al.
Lifelong Optimization with Low Regret
Yi-Shan Wu, Po-An Wang, Chi-Jen Lu
Lifted Weight Learning of Markov Logic Networks Revisited
Ondrej Kuzelka, Vyacheslav Kungurtsev
Lifting high-dimensional non-linear models with Gaussian regressors
Christos Thrampoulidis, Ankit Singh Rawat
Locally Private Mean Estimation: $Z$-test and Tight Confidence Intervals
Marco Gaboardi, Ryan Rogers, Or Sheffet
Local Saddle Point Optimization: A Curvature Exploitation Approach
Leonard Adolphs, Hadi Daneshmand, Aurelien Lucchi et al.
Lovasz Convolutional Networks
Prateek Yadav, Madhav Nimishakavi, Naganand Yadati et al.
Low-Dimensional Density Ratio Estimation for Covariate Shift Correction
Petar Stojanov, Mingming Gong, Jaime Carbonell et al.
Low-Precision Random Fourier Features for Memory-constrained Kernel Approximation
Jian Zhang, Avner May, Tri Dao et al.
Markov Properties of Discrete Determinantal Point Processes
Kayvan Sadeghi, Alessandro Rinaldo
Matroids, Matchings, and Fairness
Flavio Chierichetti, Ravi Kumar, Silvio Lattanzi et al.
MaxHedge: Maximizing a Maximum Online
Stephen Pasteris, Fabio Vitale, Kevin Chan et al.
Minimum Volume Topic Modeling
Byoungwook Jang, Alfred Hero
Mixing of Hamiltonian Monte Carlo on strongly log-concave distributions 2: Numerical integrators
Oren Mangoubi, Aaron Smith